Responsibilities: Help improve our website, blog, and landing pages for better user experience, SEO performance, and higher conversions. Conduct basic keyword research, optimize on-page SEO elements, and help ensure content is search-friendly. Assist in managing marketing activities, including YouTube marketing, SEO, and email campaigns. Collaborate with the development team to ensure our site is user-friendly, visually appealing, optimized for search engines, and free of bugs. Run tests and suggest improvements to enhance the customer journey and support lead-generation efforts. Contribute to updating website content and design elements to maintain consistency, quality, and SEO best practices. Qualifications: 6+ months of experience in SEO or digital marketing, with a basic understanding of SEO principles like keyword research, on-page optimization, and content structuring. Familiarity with CRO techniques and an interest in learning how to improve conversion rates. Experience with WordPress, Webflow, or other no-code tools is a plus. Good communication skills and attention to detail. Ability to manage tasks and stay organized in a fast-paced environment. Analytical mindset, comfortable with data, and a willingness to learn and grow in SEO and CRO.

Designing and implementing advanced state-of-the-art AI architectures, specializing in LLMs, SLMs, VLMs and MLLMs. Develop Gen AI workflows, fine tune and work with stakeholders. Perform scientific evaluation of NLP/LLM models, come up with new techniques for model validation, evaluation, trust and safety. Understand user behavior and requirements and develop accordingly. Write Generative AI pipelines to give contextual awareness of structured and unstructured data to LLMs. Develop MLOps (Machine Learning Operations) workflows for data preparation, deployment, monitoring and retraining. Create and own cloud native API to deploy ML models. Craft data warehousing strategy along with instrumenting ETL pipelines for maintaining quality data to be used for Model Training. Design and implement A/B experiments user segmentation, user classification, and tooling to support A/B experiments. Research and apply state-of-the-art techniques in Deep Learning and Generative AI Domain. Build and enhance NLP pipelines for hierarchical data.

Conduct advanced research in AI and machine learning, specifically focusing on LLMs for code generation and comprehension Implement or optimise state-of-the-art AI models to enhance our AI pair programming capabilities Develop and refine algorithms for contextual code retrieval, reranking, and efficient use of vector databases Collaborate with the development team to integrate research findings into our VS Code extension Contribute to the improvement of developer workflow optimisation through AI-assisted coding Evaluate and fine-tune models to ensure high-quality code suggestions and analysis Stay abreast of the latest advancements in AI research and propose innovative applications for our product

Responsibilities Develop and optimize prompts for AI systems to assist developers in generating high-quality code, improving documentation, and automating tasks. Designing, Developing and Refining prompts to enhance the quality and relevance of generated response. Monitor and analyze prompts performance to identify areas of improvements. Understand user behavior and requirements and develop accordingly. Stay proactive in identifying opportunities for innovation and improvement in our AI systems. Stay up to date with advancements in AI, NLP, and prompt engineering, and apply this knowledge to improve our products and processes. Conduct experiments to test and evaluate the effectiveness of different prompts in producing optimal results for end users. Qualifications Knowledge of LLM parameters and configuring these parameters to get different results for prompt. Understanding of all prompt elements and experience in modifying those elements to get better results. Experience with existing prompting techniques. Experience with using suitable prompts for various applications (e.g. Generating code, Generating data, etc.). Experience with RAG and handling hierarchical data (e.g. Codebase) for RAG. Knowledge of capabilities of various LLMs and how can we use different prompts efficiently to improve the capacity of LLMs. Knowledge of scaling, agents, efficiency, hallucination, prompt injection, etc. Understanding of Graph databases and Tabular databases and utilization of prompts to make LLM interact with these databases. Knowledge of latest research on prompt engineering for LLMs.

Responsibilities - Ship high-quality, well-tested, secure, scalable, extensible, and maintainable code as well as perform code review. Apply design principles and patterns in creating enterprise-level solutions, as needed. Design products, services, and systems that are resilient to the iteration and change required by the needs of the business. Research new technologies and development methodologies to drive efficiency and improve customer experience. Coordination with the US led product and sales team to strategize and carry out the development of customer features and functionality requests. Qualifications - 3+ years of experience as a Full stack developer. Extensive experience working with NodeJS platforms & MongoDB. Expertise in building robust REST and GraphQL APIs Experience working with ReactJs Hooks. Hands-on experience with frameworks like ExpressJS and Fastify. Proficiency with SQL/NoSQL databases like PostgreSQL, MySQL and Redis. Hands-on experience in working with React-related libraries like Redux, MaterialUI and frameworks like NextJS. Strong knowledge of source code management systems like git & knowledge of WebSocket technologies.